/*
 * @Author: xiaosihan 
 * @Date: 2023-12-14 16:04:21 
 * @Last Modified by: xiaosihan
 * @Last Modified time: 2024-10-31 00:52:08
 */


import { ReactNode } from "react";
import styles from "./institutionalRiskIndex.module.less";

interface Iprops {
    children?: ReactNode
}

// 机构风险指数
export default function InstitutionalRiskIndex(props: Iprops) {

    const list = [
        // {
        //     key: "1",
        //     model_name: "虚假评定识别模型",
        //     logical_class: "患者实际个人行为能力以及身体健康情况大幅度优于评估结论",
        //     risk_levels: "3",
        // },
        // {
        //     key: "2",
        //     model_name: "虚假评定识别模型",
        //     logical_class: "随机派单的间隔时间<1分钟",
        //     risk_levels: "2",
        // },
        {
            key: "2",
            model_name: "虚假评定识别模型",
            logical_class: "评估专家任务率过高(同-天月接单量过高)",
            risk_levels: "1",
        },
        {
            key: "2",
            model_name: "虚假评定识别模型",
            logical_class: "某-评估专家的评估通过率过高(评估专家隶属于哪家医疗机构",
            risk_levels: "2",
        },
        {
            key: "3",
            model_name: "虚假评定识别模型",
            logical_class: "评估监督员与参保人首次选择的护理机构之间的匹配度",
            risk_levels: "1",
        },
        {
            key: "4",
            model_name: "虚假评定识别模型",
            logical_class: "某一评估专家复评率过高",
            risk_levels: "2",
        },
        {
            key: "5",
            model_name: "虚假评定识别模型",
            logical_class: "(对初评专家)复评与初评结果相差2个等级以上(不含2个等级",
            risk_levels: "2",
        },
        {
            key: "6",
            model_name: "虚假评定识别模型",
            logical_class: "评估专家与评估监督员之间的匹配度",
            risk_levels: "2",
        },
        {
            key: "7",
            model_name: "虚假评定识别模型",
            logical_class: "评估专家与参保人首次选择的护理机构之间的匹配度",
            risk_levels: "2",
        },
        // {
        //     key: "7",
        //     model_name: "虚假评定识别模型",
        //     logical_class: "护理机构入住率畸高",
        //     risk_levels: "2",
        // }
    ]

    return (
        <div className={styles.institutionalRiskIndex}>
            <div className={styles.head}>
                {/* <span className={styles.index} >序号</span> */}
                <span className={styles.value1} >模型名称</span>
                <span className={styles.value2} >逻辑分类</span>
                <span className={styles.value3} >风险等级</span>
            </div>
            <div className={styles.autoScroll}>
                {
                    (list || []).map((d: any, i: number) => {
                        return (
                            <div key={i} className={styles.listItem} >
                                {/* <span className={styles.index} >{i + 1}</span> */}
                                <span className={styles.value1} >{d.model_name}</span>
                                <span className={styles.value2} >{d.logical_class}</span>
                                <span className={styles.value3} >{d.risk_levels}</span>
                            </div>
                        );
                    })
                }
            </div>
        </div>
    );

}